Research on Online Review of Ice and Snow Sports Based on Text Mining

Yingkun Zhang; Yuliang Chen; Zijian Mo; Xiaoxue Yu; Luhongyu Lin

doi:10.54097/hbem.v8i.7269

Authors

Yingkun Zhang
Yuliang Chen
Zijian Mo
Xiaoxue Yu
Luhongyu Lin

DOI:

https://doi.org/10.54097/hbem.v8i.7269

Keywords:

Ice and snow economy; Online comments; TF-IDF; LDA thematic model; Emotion classification model.

Abstract

Ice and snow economy, with the development of times and economy and the heat of 2022 Winter Olympic Games, ice and snow sports have gradually become a trend.However, domestic and foreign scholars to this emerging economy research is less, the level is shallow.This paper takes Ctrip platform as the data source, grabs the online review text of ice and snow sports, processes the data, quantifies the comment attribute of consumers by TF-IDF method, then uses LDA model to explore its potential theme, and finally constructs emotion classification model to analyze consumers 'emotion.The purpose is to understand their emotional bias and provide reference suggestions for national decision-making and ice and snow economic development.

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